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Using predictive intelligence to support risk mitigation strategies




Is your business unintentionally fostering the “perfect storm”?

As threats are growing exponentially and a climate of uncertainty is pervading the landscape, organizations need, more than ever, to be prepared for the future with effective predictive tools and processes.

Recognizing possible vulnerabilities and weak points timely requires the integration of smart technologies and the paradigm shift in physical security from a reactionary and defensive approach to a proactive stance.

Threat intelligence: Attribution vs. Prediction

For a long time, companies have focused their protection efforts on identifying WHO is/was behind an attack. Although this is valuable information, it does little to prevent a threat and keep your organization secure. In fact, attribution often takes place post-attack.

Conversely, a predictive strategy discovers HOW the attack will take place. This is a more forward-looking approach that centers on gathering and analyzing data from multiple security systems to help a site identify and address a threat in real time.

Predictive intelligence

With the adequate deployment of Artificial Intelligence (AI) and advanced systems able to process vast amounts of information, businesses can operate with predictive intelligence and elevate their physical security, mitigate risks, avoid cyber security breaches, and make informed decisions by utilizing real-time actionable insights, reporting, and monitoring.

Predictive intelligence helps determine where a company is most vulnerable. Moreover, it also provides data about the identities, motivations, characteristics, and methods used by threat actors, as well as the plan to follow to neutralize such threats.

Areas in which predictive threat intelligence can support your site:

Risk detection

Risk detection helps you flag threats that are difficult for humans to spot. This includes new categories of risks and potential sources of future issues.

For instance, AI can point out anomalies in cardholder behavior (access control):

  • “Impossible travel” or the same card being used at different locations at the same time.
  • Unusual time/location usage.

Threat monitoring

Threat monitoring efficaciously tracks activities and individuals to establish a baseline and detect anomalies that could indicate possible danger.

Video surveillance is a key application that is used to detect, track, and gain a high level of understanding of objects automatically.

Examples of an anomaly in video scenes are vehicles moving on the footpath, an abandoned object, loitering, or an unauthorized individual in a restricted area.

Automation of labor intense, complex, and error-prone processes

Manual monitoring and tracking are error-prone, slow, expensive to scale, and in many cases an unfeasible task.

In addition, human monitoring introduces individual biases, which can be prevented with AI and the emphasis on behavioral detection rather than facial recognition.

In today’s uncertain environment, risks need to be addressed wisely with top-notch technologies and proactive strategies. Predictive threat intelligence is a key solution that supports the smart management of physical security threats and the mitigation of unpredictable risks.

Prepare for the future

Don't wait for the storm to hit. Contact us now to explore how our proactive security solutions can help your organization navigate the evolving threat landscape.